code: def test_resnet50_architecture(self):
      resnet50 = architectures.resnet50()
      self.assertShapesEqual(resnet50.input_shape, (None, 224, 224, 3))
      self.assertShapesEqual(resnet50.output_shape, (None, 1000))
  
      random_input = asfloat(np.random.random((7, 224, 224, 3)))
      prediction = self.eval(resnet50.output(random_input))
      self.assertEqual(prediction.shape, (7, 1000))
  
file_path: neupy/tests/architectures/test_resnet.py
imports: import numpy
  from neupy.utils import asfloat
  from neupy import architectures
  from base import BaseTestCase
label_desc: Use image node_id 1 for calling the Resnet50TestCase obj's underlying member method code with example usage: obj.test_resnet50_architecture() without return types